Analysis of Health Care Data Using Natural Language Processing
Manasa S. Desai, Shodhana Gururaj, T.L. Prakash · 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) · 2020
One in each of the applications of NLP is text classification. In this paper, a multi-label classification model of tagging the plain text is developed where the data is obtained from the Automatic Speech Recognition (ASR) model. However, the data collection process is utilized here by using automatic speech recognition systems (ASR). The main goal of the project is to set up an efficient model which guesses the tags for plain text received which achieves 82% accuracy. By studying all these, it has been confirmed that supervised learning algorithms like Naive Bayes, Support Vector Machine (SVM)) showed better performance for the task of Text Classification.